Posted 13 days ago
Applied AI Engineer
@ Luxoft
Canada
Overview
Luxoft is hiring an Applied AI Engineer for an energy solutions client building an AI-enabled platform for operations and decision-making across renewable and traditional energy portfolios. The role builds LLM-powered features and agents from prototype to production, with an MVP due February 2027 and the project running into 2028. The posting requires mid-to-senior engineering experience shipping LLM systems to production and full-time work.
Responsibilities:
- Define technical criteria with product teams
- Design, build and ship LLM features and agents
- Own retrieval and RAG over client data
- Build evals and monitoring for quality, cost and latency
- Refine customer-facing AI features
Requirements summary:
- Mid-to-senior engineer who has shipped LLM features to production
- Production Python or Node.js/TypeScript experience
- AWS and AI services experience, AWS Bedrock preferred
- Daily use of agentic AI coding tools and CI/CD experience
- Strong English and communication skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-28
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Luxoft
| Field | Value |
|---|---|
| Open jobs on Jobsy | 12 |
Project description
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable benefit across our operations and products.
Responsibilities
- Work closely with product teams to help define and execute technical criteria
- Find high-value uses for AI and define how success is measured
- Design, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding
- Own retrieval and RAG over our data, building on the foundation our data engineers prepare
- Build evals and monitoring that track quality, cost and latency, and improve systems based on the results
- Help refine our customer-facing AI features
Skills
Must have
- Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes
- Production experience in Python (preferred) or Node.js/TypeScript
- Building with LLMs: prompt and tool design, structured outputs, retrieval/RAG and agent orchestration
- Evaluating AI systems: eval sets built from representative data, automated graders, human review and production monitoring
- AWS or another enterprise cloud platform, including its AI services (AWS Bedrock preferred)
- AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
- Strong English and communication skills
Nice to have
- Agent tool protocols such as MCP
- SQL and cloud warehouse data (Snowflake preferred)
- Infrastructure as code (e.g. Terraform)
- Exposure to energy, utilities or sustainability data
Journal
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